Compare with explicit criteria

Compare AI tools by intended outcome

An assistant, search engine and video generator produce different outputs. Compare two candidates on the same task, using identical inputs and equal preparation time. These frameworks are evaluation methods, not results of tests performed by Pictoquest.

Measure cost per accepted result

Add the subscription share allocated to the trial, consumed credits, API calls and preparation, checking and correction time. Divide by the number of outputs meeting your criteria. If none is accepted, the trial failed: a low generation price does not make it economical.

Calculate your trial cost

Use the same currency for every amount. Calculation stays in your browser and is not saved. The hourly rate represents your own time-cost assumption.

Subscription share allocated to the trial Consumed credits and calls Preparation, checking and correction (minutes) Cost of one working hour Number of accepted results

Enter costs and the number of accepted results.

AI assistants: choose for the task and the data

Expected output: Faithful summary, rewrite or usable plan.
Decisive checks: Dates, numbers, exceptions and format instructions preserved.
Evidence to keep: Original text, response, errors and correction minutes.
Failure signal: An elegant answer adding facts absent from the document.

Detailed profiles: Duck.ai · ChatGPT · Claude · Gemini

AI search: trace answers back to sources

Expected output: An answer with claims traceable to accessible documents.
Decisive checks: Primary source, date, exact passage and contradictory evidence.
Evidence to keep: Question, opened links, supported claims and missing sources.
Failure signal: Citations that exist but do not support the answer.

Detailed profiles: Kagi · Perplexity Search · Brave Search · Consensus · Elicit

AI image and design: make visuals you can use

Expected output: A visual exportable at the required format and dimensions.
Decisive checks: Edges, text, product fidelity and editability.
Evidence to keep: Originals, rejected variations, exported file and retouching time.
Failure signal: An image altering the product or inventing a feature.

Detailed profiles: Photoroom · ComfyUI · Adobe Firefly · Ideogram · Canva AI

AI video: choose a manageable production workflow

Expected output: An editable shot with useful duration and adequate continuity.
Decisive checks: Motion, subject identity, objects, transitions and export.
Evidence to keep: Generated shots, accepted seconds, credits and editing time.
Failure signal: An attractive shot made unusable by distortions.

Detailed profiles: Runway · Pika · Luma Dream Machine · Descript

AI audio and voice: compare using a real sample

Expected output: Intelligible narration or cleaned audio preserving useful content.
Decisive checks: Names, numbers, breathing, pauses and final-medium intelligibility.
Evidence to keep: Script, exported track, pronunciation errors and corrections.
Failure signal: A natural voice distorting a name, number or intended meaning.

Detailed profiles: ElevenLabs · Suno

AI for documents and work: keep control of the result

Expected output: An editable document preserving facts, structure and terminology.
Decisive checks: Tables, citations, layout, versions and sharing.
Evidence to keep: Source file, export, corrected passages and access permissions.
Failure signal: An attractive presentation containing inaccurate tables or references.

Detailed profiles: Gemini Notebook · DeepL · Notion AI · Grammarly

AI coding tools: evaluate an assistant in your repository

Expected output: A bounded, readable change validated in the target repository.
Decisive checks: Reproduction, diff, existing tests and adjacent behaviour.
Evidence to keep: Branch, instructions, final diff, commands and test results.
Failure signal: A fix without reproduction or with out-of-scope changes.

Detailed profiles: Cursor · GitHub Copilot · Aider · Continue

Local and open AI: verify the control you really get

Expected output: An acceptable result on your hardware with controlled network flows.
Decisive checks: Memory, latency, model licence and remote dependencies.
Evidence to keep: Versions, configuration, memory measurements and disconnected trial.
Failure signal: A local claim when another component transmits the data.

Detailed profiles: Ollama · LM Studio · Open WebUI · LocalAI · vLLM

AI agents and automation: make every step controllable

Expected output: A process completing work, logging actions and handling retries.
Decisive checks: Duplicates, permissions, incomplete inputs and write approval.
Evidence to keep: Test events, logs, retries and undo procedure.
Failure signal: A workflow repeating an external action on every retry.

Detailed profiles: n8n · Zapier AI · Make AI

Cloud and enterprise AI: compare beyond the demo

Expected output: An operable application with documented model and environment.
Decisive checks: Access, region, quotas, monitoring, export and total cost.
Evidence to keep: Configuration, test cases, errors, consumption and logs.
Failure signal: A demo lacking access controls or recovery planning.

Detailed profiles: AWS Bedrock · Copilot Studio · Microsoft Foundry

Classic web search: cross-check an AI answer

Expected output: Relevant documents retrieved and read in context.
Decisive checks: Topic coverage, date, language and source diversity.
Evidence to keep: Queries, expected documents, found documents and search time.
Failure signal: Many results but no document answering the question.

Detailed profiles: Qwant Classic · Bing

Keep a decision record

Describe the task, expected format and errors that would make the output unusable.
Record tool, model, plan, date, settings and inputs. Keep rejected results.
Set criteria before the trial, then record errors, human time and actual cost.
Decide: adopt, retest or stop. Define which changes will require another trial.

Build an evaluation set →